Pulin Che
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Hepatology top 10%
- Liver physiology and pathology
Papers in
-
- Receptor Mechanisms and Signaling 4
- S100 Proteins and Annexins 3
-
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 4
- Co-authors
- Qianjun Li (4 shared papers)Yunjia Chen (2 shared papers)Mary Gannon (2 shared papers)Qin Wang (3 shared papers)Kai Jiao (2 shared papers)Erik D. Roberson (1 shared paper)Qiang Ding (12 shared papers)Meng Hu (6 shared papers)
- Journals
- The FASEB Journal (2 papers)PLoS ONE (2 papers)Scientific Reports (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Pulin Che
19 papers receiving 713 citations
Peers
Comparison fields: 5 of 90
- Biological Psychiatry 37
- Hepatology 66
- Neurology 63
- Cellular and Molecular Neuroscience 98
- Immunology and Allergy 30
Countries citing papers authored by Pulin Che
This map shows the geographic impact of Pulin Che's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pulin Che with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pulin Che more than expected).
Fields of papers citing papers by Pulin Che
This network shows the impact of papers produced by Pulin Che. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pulin Che. The network helps show where Pulin Che may publish in the future.
Co-authors
The 25 scholars most cited alongside Pulin Che, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 160 | |
| 2 | 2017 | 103 | |
| 3 | 2014 | 83 | |
| 4 | 2014 | 71 | |
| 5 | 2013 | 55 | |
| 6 | 2015 | 46 | |
| 7 | The development, optimization and validation of an assay for high throughput antiviral drug screening against Dengue virus. | 2009 | 28 |
| 8 | 2021 | 24 | |
| 9 | 2011 | 23 | |
| 10 | 2017 | 23 | |
| 11 | 2021 | 19 | |
| 12 | 2019 | 19 | |
| 13 | 2018 | 14 | |
| 14 | 2016 | 12 | |
| 15 | 2017 | 11 | |
| 16 | 2020 | 10 | |
| 17 | 2020 | 8 | |
| 18 | 2020 | 6 | |
| 19 | 2016 | 4 | |
| 20 | 2026 | 0 |
About Pulin Che
Pulin Che is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health and Cell Biology, having authored 20 papers that have together received 719 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), S100 Proteins and Annexins (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Mosquito-borne diseases and control (3 papers), Vibrio bacteria research studies (2 papers), Viral Infections and Vectors (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Biological Psychiatry (37 citations), Hepatology (66 citations), Neurology (63 citations), Cellular and Molecular Neuroscience (98 citations) and Immunology and Allergy (30 citations). Pulin Che has collaborated with scholars based in United States and China. Frequent co-authors include Qianjun Li, Yunjia Chen, Mary Gannon, Qin Wang, Kai Jiao, Erik D. Roberson, Qiang Ding, Meng Hu, Hengli Tang and Xiaosi Han. Their work appears in journals such as The FASEB Journal, PLoS ONE, Scientific Reports, Journal of Pharmacology and Experimental Therapeutics and Frontiers in Neuroscience.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.